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LLMOps / MLOps Specialist

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djinni.co
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Що робити

  • Build and maintain end-to-end CI/CD pipelines for machine learning and LLM applications.
  • Implement robust model evaluation, monitoring, and observability frameworks (MLflow, LangChain, Arize).
  • Manage vector databases and retrieval-augmented generation (RAG) pipelines at scale.
  • Ensure data privacy, model safety, and compliance standards are enforced across all deployments.

Що очікуємо

  • Minimum 3 years of experience in MLOps, ML engineering, or backend systems focused on AI workflows.
  • Hands-on experience with vector databases (Pinecone, Milvus, Qdrant) and orchestration frameworks (LangChain, LlamaIndex).
  • Solid software engineering background in Python and containerized environments.
  • Valid W-2 work authorization in the United States (no C2C or cross-border arrangements).
  • Sound like a fit?

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